Evidence map›Paper›PMID 39910471›Full record

ArticleBMC infectious diseases2025

Development and evaluation of a novel E7 multi-epitopic vaccine for human papillomavirus type 16: design, expression, purification, and immunological characterization.

Bahareh Bahmani, Zahra Amini-Bayat, Mohammad Mehdi Ranjbar, Masoud Hassanzadeh Makoui, Amir-Hassan Zarnani

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Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Bahareh BahmaniDepartment of Immunology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Zahra Amini-BayatDepartment of Biotechnology, Iranian Research Organization for Science and Technology (IROST), Tehran, Iran. Amini-bayat@irost.org.ORCID http://orcid.org/0000-0003-2667-0486
Mohammad Mehdi RanjbarDepartment of Virology, Razi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran.
Masoud Hassanzadeh MakouiDepartment of Immunology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
Amir-Hassan ZarnaniDepartment of Immunology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. zarnania@sina.tums.ac.ir.ORCID http://orcid.org/0000-0003-4503-299X

Funding

Cancer Control Research Center, Cancer Control Foundation, Iran University of Medical Sciences, Tehran, Iran CCF-0007
6 · The paper itself

Abstract

backgroundPersistent infection with high-risk Human papillomavirus (HPV), specifically HPV-16, is the leading cause of cervical cancer. Although preventative vaccines have shown significant efficacy in preventing HPV infection, cervical cancer is a significant public health issue that affects millions of women worldwide. Modern therapeutic approaches, such as peptide vaccines, could be promising and have potential for the treatment of the HPV-infected population.

methodsA HPV16-E7 multi-epitopic vaccine (MEVE7) was designed to comprise potent CD4 + and CD8 + T cell epitopes and optimally expressed in a prokaryotic expression system. Polyclonal antibodies were generated, and their reactivity with immunizing antigen and native protein in E7 expressing cells (TC-1) was assessed by ELISA and immunofluorescent staining, respectively. The efficacy of the vaccine was assessed in a therapeutic animal model of HPV-induced cancer.

resultsOur study revealed that the final construct was successfully expressed in E. coli BL21 (DE3)-gold within 4 h of induction as inclusion bodies. Among the tested solubilization buffers, the buffer with a pH of 12 and containing 2 M urea showed the highest solubilization effect. Polyclonal antibodies directed against the E7 multi-epitope vaccine were able to react strongly with the immunizing antigen and E7-bearing cells (TC-1). Immunization of TC-1 tumor-bearing mice with HPV16-E7, markedly delayed tumor growth and propagation.

conclusionThe poly-epitope vaccine for HPV16-E7, as expressed and purified in this research, is highly immunogenic and capable of triggering E7-specific antibodies, making it a potential therapeutic HPV vaccine. Further research is needed to optimize the vaccination schedule and assess the E7-specific immune cell profile.

Indexed as

Epitopes, T-LymphocyteHuman papillomavirus 16Papillomavirus E7 ProteinsPapillomavirus InfectionsPapillomavirus VaccinesAnimalsAntibodies, ViralEscherichia coliFemaleHumansMiceUterine Cervical NeoplasmsVaccine DevelopmentAntibodies, ViralEpitopes, T-Lymphocyteoncogene protein E7, Human papillomavirus type 16Papillomavirus E7 ProteinsPapillomavirus VaccinesCervical cancerHuman papillomavirus 16-E7Multi-epitopeRecombinant proteinTherapeutic vaccine design

Identifiers

PMID39910471
PMCPMC11800608

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.